I help organizations identify what to automate, where AI creates value, then architect the systems to make it real.

Put trusted AI assistance directly into daily work, helping teams prepare faster and reclaim an estimated 3,095 hours each month.

Helped teams release more consistent, trustworthy AI skills by catching duplication and quality gaps before certification.

Reduced support friction by guiding employees to the right request path and specialists instead of relying on ad hoc messages.

Made it easier to turn employee ideas into actionable work by bringing submissions, tools and ownership into one place.

Turned emerging AI opportunities into a structured path for evaluation, safer experimentation and adoption.

Cut repetitive weekly cleanup from 15–30 minutes to about one minute, freeing teams from routine administrative work.

Helped teams get answers faster by bringing account information into support workflows and reducing manual lookups and back-and-forth.

Helped employees reach answers and experts faster, with 55.8% of submissions resolved in the measured sample.

Reduced repetitive audit work through reusable AI checks, with approximately 1,718 hours of estimated annual capacity returned.

Accelerated account research from roughly 60 to five minutes per account, helping complete 100 reviews on deadline.

Helped employees build confidence using AI through 15+ practical sessions reaching more than 230 attendees.

Designed AI-assisted support workflows combining intelligent intake, MCP-connected CRM context, instant specialist routing and human oversight for a high-volume enterprise team.

Reduced manual handoffs by connecting intake, AI checks, approvals and notifications in repeatable workflows.

Makes it easier to find relevant local activities and turn a long list of possibilities into a practical plan.

Makes gaming updates easier to discover while reducing repetitive source monitoring and editorial coordination.